Compared to suggestion selection, a suggestion generation system can achieve higher coverage since no pre-existing suggestion candidates are required. [1]} propose to use a fine-tuned GPT-2 model to generate suggestion \(S\)  word-by-word given \(Q\) , and its history \(\mathcal {H}\)  (if available),
\(S = \text{GPT-2}(Q, \mathcal {H}; \theta ).\) 
